<html><head><title>Data Scientist - Pittsburgh, PA 15206</title></head>
<body><h2>Data Scientist - Pittsburgh, PA 15206</h2>
<div><b>Introduction:</b><br/>
SymphonyRM helps health systems thrive in the rapidly evolving US Healthcare industry by keeping patients healthy and physicians happy. By analyzing large amounts of data from many sources, we empower clients to make smarter decisions at every turn in their business. Our clients love SymphonyRM’s ability to guide them to take the next best action for both patients and physicians.<br/>
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<b>Job Description:</b><br/>
SymphonyRM is seeking a data scientist to design, test, and refine machine learning models to power our next best actions. Using the latest tools and techniques, you will develop models trained on historical data sets to help suggest relevant actions to patients and to rank those suggestions. You will join a team of data scientists based out of our Pittsburgh office, located in Bakery Square.<br/>
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<b>**Please note this is a full time position based in Pittsburg, PA and not remote work, local resident only.**</b><br/>
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<b>Responsibilities:</b></div>
<ul><li>Perform extensive exploratory data analysis (EDA) on many aspects of healthcare data</li><li>Conceptualize, develop, test, and refine predictive models to suggest actions for patients and physicians</li><li>Write Python code to do classification using machine learning algorithms</li><li>Test various machine learning and deep learning approaches to evaluate their efficacy</li><li>Communicate results and discuss options for improving models</li><li>Work with data engineers to add additional data sets for use in models</li></ul><div><b>Skills and Qualifications:</b></div>
<ul><li>2 years of experience (or significant academic coursework) with machine learning algorithms in Python (or R) for classification, e.g. logistic regression, random forest, decision trees, SVMs, etc</li><li>Versatility with common data science libraries in Python (such as pandas or numpy) or R, in order to iterate and test new algorithms quickly</li><li>Experience with databases and SQL to query and analyze data</li><li>Use of data visualization tools (matplotlib, ggplot2, Excel, etc.) to display &amp; analyze results</li><li>Detail orientation: ability to work carefully to achieve an accurate result</li><li>Solid communication skills: ability to prepare written material that communicates clearly and succinctly along with the ability to verbally describe results</li></ul><div><b>Bonus Qualifications:</b></div>
<ul><li>Experience with other fields of machine learning including:</li><li>Deep learning approaches to classification/prediction</li><li>List-based ranking algorithms such as learning-to-rank</li><li>Unsupervised learning (k-means clustering, PCA, etc.)</li><li>Experience with big data platforms, especially Dask or Spark/Amazon EMR</li><li>Experience with healthcare data</li><li>Experience with Amazon Web Services (e.g. Amazon Redshift)</li></ul><div><b>Benefits:</b></div>
<ul><li>A great environment to start or continue your career - you will learn, put into practice, and improve modern data science and machine learning approaches</li><li>Working hands-on with large healthcare data sets to solve real world challenges</li><li>An important mission to make healthcare better by keeping patients healthy and physicians happy</li><li>Health coverage, company equity, flexible PTO, team outings and more</li></ul></body>
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